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cognitect-labs
anomalies
Clojure2018–2026
cognitect-labs / anomalies

anomalies

Discover this repository through its Hacker News conversations.

4Distinct people
5Mentions
0Explicit recommenders
207GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

A public description has not been verified.

Where it is used

No documented product use has been verified yet.

What people are saying

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No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

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This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year5 dated mentions

Observed mentions: 2018-05-23 11:14:02 UTC to 2026-05-08 09:58:36 UTC.

0122018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments20182019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20222023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2026-01-01 00:00:00 UTC to 2027-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments. Incomplete calendar period.2026*

* An incomplete calendar period is marked with an outlined bar. Its count is not directly comparable with a full period.

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC110
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC000
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC000
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC000
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC000
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC101
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC000
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC101
2026 (partial)2026-01-01 00:00:00 UTC2027-01-01 00:00:00 UTC211

What Hacker News says

5 sources
> has no inherent error model I'll pitch in here, as I've been doing a lot of thinking about this issue and ended up writing my own (tiny) tools for handling anomalies, modeled on the very well thought-out https://github.com/cognitect-labs/anomalies categorization. This is actually a much wider problem and not specific to core.async. Handling anomalies is difficult. It used to be that you would have exceptions and errors which would be thrown, unwinding the stack. This pattern no longer works in asynchronous code, or code that needs to pass anomalies between the server and the client. In practical applications, an anomaly might need to be returned from a function, passed through a `core.async` channel, then thrown, unwinding the stack on the server side, then caught and passed to the client side over a WebSocket, and then displayed to the
Read the rest
user there. Solving this well is not easy. I think my toolkit, iterated and improved over the years, is close to what I need. But I'm pretty sure it wouldn't handle all the real-world use cases yet. But again, this is not specific to core.async in any way.
In ClojureScript Gets Async/Await
I'll do my best but there might be better explanations around the web. I think an illustrative example would be this repo: https://github.com/cognitect-labs/anomalies These are basically re-usable, namespaced keywords. You might decide to use them or something similar in your program/system and some people do. Pretty neat: Their semantics are documented in the readme and the little bit of code in the repo defines a spec here https://github.com/cognitect-labs/anomalies/blob/master/src/.... You can read it as: any map that has these keywords as defined in the spec is an "anomaly". Specs are open, non-exclusive so you can add more stuff to your structure and they still conform. (Note that the double colon before the keywords just mean "the current namespace defined at the top".) Note that you don't need to define a spec for namespaced keywor
Read the rest
ds. It's just a utility that leverages them. By themselves they already say "I can be used in a global context". --- These keywords can be used from anywhere and by themselves. You don't need to carry around their context for them to work or have meaning. To contrast: for example a JSON field in a nested context might only make sense in that specific nesting context. Clojure namespaces are by convention globally unique. Some examples: - `:my.domain.accounting/refnumber` - `:my.domain.ui/color` defined as `(or :my.domain.ui/rgb :my.domain.ui/hsl)` etc. - `:my.domain.person/name` defined as a string if at all - `:my.domain.event/type`
In Bringing Clojure programming to Enterprise (2021)

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